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The development of an effective corporate vision is a necessary issue for corporate performance, and it is a key issue for corporate sustainable development as well. The recognition of questions like “what is the role of corporate vision in corporate performance” is directly related to the attitude and practice of entrepreneurs and managers toward the development of corporate vision as well as the effectiveness of the corporate vision itself. To better answer the questions concerning the role of corporate vision development and effectively guide the practice of corporations, the authors study the pathways and mechanisms by which corporate visions operate to assist businesses in achieving high performance.

The article completes the construction of indicators to measure each dimension of the corporate vision in line with social cognitive theory and analyzes the relationship between corporate vision and corporate performance by combining qualitative comparative analysis (QCA) and necessary condition analysis (NCA) research methods. The article provides insights into the logic of constructing and adjusting corporate visions from a process perspective.

The mechanisms by which corporate visions can be articulated, accepted and transformed within the organization are also the means by which corporate visions can improve corporate performance. In a dynamic environment, the corporate vision setting and acceptance process integrates the requirements of various stakeholders, leading to the adjustment and acceptance of the corporate vision. As a result, the vision has continuous validity in a changing environment. Both start-ups and non-start-ups can benefit from the guidance provided by a strong corporate vision in overcoming a variety of issues and obstacles to produce strong business performance.

This is the first study that shows the relationship between corporate vision and corporate performance from a process perspective. The authors are interested in understanding which characteristics for building a corporate vision are more accepted by organizational members and, in turn, create high corporate performance. The authors also explore the conditions for corporate vision acceptance. This research has positive implications for shedding some light on the mechanisms by which corporate visions improve corporate performance.

This study aims to investigate how preservice teachers’ stages of concern, beliefs, confidence and interest in AI literacy education evolve as they deepen their understanding of AI concepts and AI literacy education.

AI literacy lessons were integrated into a technology integration course for preservice teachers, and the impacts of the lessons were evaluated through a mixed-methods study. The Concerns-Based Adoption Model was employed as the analytical framework to explore participants’ specific concerns related to AI.

Findings revealed that participants initially lacked AI knowledge and awareness. However, targeted AI literacy education enhanced preservice teachers’ awareness and confidence in teaching AI. While acknowledging AI’s educational benefits, participants expressed ongoing concerns after AI literacy lessons, such as fears of teacher displacement and the potential adverse effects of incorporating generative AI on students’ critical learning skills development.

Despite the importance of providing preservice teachers with AI literacy skills and knowledge, research in this domain remains scarce. This study fills this gap by enhancing the AI-related knowledge and skills of future educators, while also identifying their specific concerns regarding the integration of AI into their future classrooms. The findings of this study offer valuable insights and guidelines for teacher educators to incorporate AI literacy education into teacher training programs.

Despite the potential of artificial intelligence (AI) systems to increase revenue, reduce costs and enhance performance, their adoption by organisations has fallen short of expectations, leading to unsuccessful implementations. This paper aims to identify and elucidate the factors influencing AI adoption at both the organisational and individual levels. Developing a conceptual model, it contributes to understanding the underlying individual, social, technological, organisational and environmental factors and guides future research in this area.

The authors have conducted a systematic literature review to synthesise the literature on the determinants of AI adoption. In total, 90 papers published in the field of AI adoption in the organisational context were reviewed to identify a set of factors influencing AI adoption.

This study categorised the factors influencing AI system adoption into individual, social, organisational, environmental and technological factors. Firm-level factors were found to impact employee behaviour towards AI systems. Further research is needed to understand the effects of these factors on employee perceptions, emotions and behaviours towards new AI systems. These findings led to the proposal of a theory-based model illustrating the relationships between these factors, challenging the assumption of independence between adoption influencers at both the firm and employee levels.

This study is one of the first to synthesise current knowledge on determinants of AI adoption, serving as a theoretical foundation for further research in this emerging field. The adoption model developed integrates key factors from both the firm and individual levels, offering a holistic view of the interconnectedness of various AI adoption factors. This approach challenges the assumption that factors at the firm and individual levels operate independently. Through this study, information systems researchers and practitioners gain a deeper understanding of AI adoption, enhancing their insight into its potential impacts.

The purpose of this paper is to examine the use of artificial intelligence (AI) in human resource management (HRM) in the Global South.

Multiple case studies of AI tools used in HRM in these countries in recruiting and selecting as well as developing, retaining and productively utilizing employees have been used.

With AI deployment in HRM, organizations can enhance efficiency in recruitment and selection and gain access to a larger recruitment pool. With AI deployment in HRM, subjective criteria such as nepotism and favoritism are less likely to come into play in recruitment and selection of employees. AI deployment in HRM also has a potentially positive impact on the development, retainment and productive utilization of employees.

AI is an evolving technology. Most HRM apps have not gained enough machine learning capabilities with real-world experience. Some of them lack a scientific basis. AI in HRM thus currently affects only a tiny proportion of the population in the GS.

The paper explores the roles of AI in expanding recruitment pools. It also advances our understanding of how AI-based HIRM tools can help reduce biases in selecting candidates, which is especially important in the Global South. It also delves into various mechanisms by which AI helps in the development, retainment and productive utilization of employees.

We provide details of various mechanisms by which AI brings input and output efficiencies in recruitment and selection in these countries.

This research was developed to identify artificial intelligence (AI) opportunities and challenges in higher education.

This qualitative research was developed using the six-step thematic analysis method (Braun and Clark, 2006). Participants in this study were AI PhD students from Tehran University in 2022–2023. Purposive sampling was used to select the participants; a total of 15 AI PhD students, who were experts in this field, were selected and interviews were conducted.

The authors considered the opportunities that AI creates for higher education in eight secondary subthemes (for faculty members, for students, in the teaching and learning process, for assessment, the development of educational structures, the development of research structures, the development of management structures and the development of academic culture). Correspondingly, The authors identified and categorized the challenges that AI creates for higher education.

Concerning the intended research, several limitations are significant. First, the statistical population was limited, and only people with characteristics such as being PhD students, studying at Tehran University and being experts in AI could be considered the statistical population. Second, caution should be exercised when generalizing the results due to the limited statistical population (PhD students from Tehran University). Third, the problem of accessing some students due to their participation in research grants, academic immigration, etc.

The innovation of the current research is that the authors identified the opportunities and challenges that AI creates for higher education at different levels. The findings of this study also contribute to the enrichment of existing knowledge in the field regarding the effects of AI on the future of higher education, as researchers need more understanding of AI developments in the future of higher education.

The rapid evolution of artificial intelligence (AI) is revolutionizing organizational operations and altering competitive landscapes. This study examines the influence of organizational resources on AI adoption in recruitment, focusing on their role in achieving competitive advantage through effective implementation.

This research utilizes a cross-sectional quantitative approach, applying partial least squares structural equation modeling (PLS-SEM) to data from 290 human resource (HR) professionals. It is grounded in the resource-based view (RBV) and dynamic capability framework (DCF).

The results reveal that HR competencies and open innovation significantly influence dynamic capabilities, which are essential for AI integration, supported by financial support and information technology (IT) infrastructure. These capabilities enable effective AI adoption, leading to a competitive advantage.

The cross-sectional data in this study captures the current landscape of AI adoption in recruitment, providing a snapshot of the present scenario in a rapidly evolving technological environment.

This study offers HR professionals and managers strategic guidance on effectively integrating AI into recruitment processes. By enhancing HR competencies, fostering collaboration and ensuring sufficient financial and infrastructural support, organizations can navigate AI adoption challenges and secure a competitive advantage in a rapidly evolving technological landscape.

The adoption of AI in recruitment can reduce biases, enhance diversity and improve fairness through standardized assessments. However, as AI technologies evolve, continuous human oversight is essential to ensure ethical use and to modify AI systems as needed, further reducing biases and addressing societal concerns in AI-driven recruitment processes.

This research introduces a novel framework that underscores the importance of integrating human expertise with advanced technological tools to ensure successful AI implementation. A key contribution is that HR professionals not only facilitate AI integration but also ensure accuracy, accountability and configure the most suitable AI tools for recruitment by collaborating with AI developers to meet the specific needs of the organization.

This paper addresses opportunities available for meeting sustainability objectives in building construction by using the conceptual alignments of Open Building and LEED^™ Rating. These two systems utilize hierarchical, scalar categorizations to structure issues of design as a set of nested constructs and function as methodologies for affecting both problem definition and the management of strategic design process.

Each system addresses the distribution of control in the design decision−making process as a positioning of decisions in space and time. Establishing the correlation of the two systems can facilitate the conversation among all participants involved in the origination, construction, use, and management of buildings−and their systems−as they seek to assure the sustainability of what they design, build, and use.

Today, there is a growing tendency towards tourism based economical activities. However, the impact of tourism particularly in the less developed countries can be very destructive in terms of the environment that is also an attraction point for tourists. It is widely acknowledged that tourists prefer to experience the natural environment, the social and cultural life, the historical heritage of the region they are visiting. Hence it is obligatory to answer these needs in a responsive tourism development process. When sustainable tourism is mentioned it includes conservation of natural and architectural environment, as well as the cultural identity while providing economical benefits. In this respect, sustainability of these particular natural, cultural and architectural environments is a crucial issue. The integration of tourism with the local environment and local community is another important factor in successful planning. In light of this discourse, the ongoing tourism developments in Bafra region in the north of Cyprus are standing at a very challenging position for decision makers in terms of balancing the impacts of tourism on these resources. Bafra's coastline is recently becoming a new center for mass tourism by its increasing number of hotels, holiday villages, recreation areas, etc. This study proposes sustainable tourism planning for a unique traditional rural settlement-Bafra Village- which is located in close vicinity of this heart of tourism. The continuity by conversion of existing traditional housing stock of Bafra village for tourism purposes is critically discussed in order to minimize the potential threats of increasing tourism demands.

Much of the world, is currently experiencing intense growth, especially in and around cities. Most conventional practitioners of modern design and construction find it easier to make buildings as if nature and place did not exist. Cars and factories might be thought as the most obvious enemies of the environment, but buildings consume more than half the energy used worldwide. Attempts to destroy building traditions have been associated in some countries with a drive to modernize. Beyond the traditional aspects of dwelling, the impact of globalization and its effect on rural economies, environmental problems, rapid urbanization and the unprecedented scale of housing problems which confront the peoples of the world in the twenty-first century, bring a new urgency to the study of the vernacular architecture in a sustaining sense. In this work, the concept of “sustainability” will be taken into consideration especially within the building scale. Vernacular architecture in the past produced a built environment which met people's needs without deteriorating the environment. This paper discusses the concept of sustainability in building design and connects it to the vernacular architecture with the search of the vernacular Antiochia houses as a sample; focusing on its architectural properties in detail. The study concludes that what is expected of architects in the current century is, wherever they work, they are to understand and digest the nature of climate, history and culture, that is to say, to obtain inspiration from the essence of place and to contribute to the creation of relevant architecture and city for a sustainable future.

Sparse attention has been paid to the inevitable processes of change that enable progress in today's globalizing urban centres, but also threaten their unique identity, historic memory, and cultural heritage. The aims of this work are to understand the urban dynamics that trigger these change processes, uncover their effects, and discuss how these changes can be utilized to achieve sustainable development. The case study, which uses a comparative mixed method strategy consisting of archival research, fieldwork, and semi-structured interviews, is the Kosuyolu Housing Settlement, a project dating to the 1950s that represents one of Istanbul's best examples of urban development and housing culture. Displaying the architectural and urban planning ideals of the Modern period, this settlement is a concrete example that reflects the period's considerations regarding social housing. Through this case, change in housing has been evaluated in terms of sustainability indicators. The derived evidences show the significant role of governance and the maintained land use pattern for the achievement of the sustainable development and these evidences are used to suggest the development of an adaption guide that will assist in sustainable development in the short term, and the creation of alternative scenarios that are flexible and easy to adapt, active, and based on participatory processes for the long term.